{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 此章节很重要"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from scipy import stats, integrate #https://blog.csdn.net/q583501947/article/details/76735870\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import seaborn  as sns\n",
    "sns.set(color_codes=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1427"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum(map(ord, \"distributions\"))# map(function,series) 利用这个方法对这个序列进行操作http://www.runoob.com/python/python-func-map.html"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 单变量画出直方图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xc3fdcc0>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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tNyc/P9/rMVxz//59Z82aNc6pU6e8HiUp/vjjDyc7O9vp7OxM6PM9e8/7yJEjOn36tCRp\n2rRpKfHfolu3bmn79u2qqanRW2+95fU4GAS3drDh4cOHKioqUmlpqfLy8rwexzWnT5/WkSNHJElT\np06Vz+dLuH2e/V/x/fffV1lZmb7++mv19vaqqqrKq1FcU1NTo66uLn3yySeS/r6B16FDhzyeCk/L\nycnRjz/+qLVr1/bf2gHjz+HDh9Xe3q66urr+kxnq6+uVnp7u8WSj884772j37t1av369enp6VF5e\nnvDPxrg8HgAM4iIdADCIeAOAQcQbAAwi3gBgEPEGAIOINwAYRLwBwKD/AN8WVKsTHSE2AAAAAElF\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x396ac18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.random.normal(size=100)\n",
    "sns.distplot(x,kde=False)#kde是值密度操作"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 设定bins 查看直方图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xcda0080>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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MJtXU1KRz587p8uXLWrNmjb785S9r06ZN8vl8mjNnjlpaWjRjBscLAJgqtgr90KFDmjVr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\nQ1DoAGAICh0ADEGhA4AhKHQAMMR/ABU2fOaX/kQJAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xc88d4e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.random.normal(size=1000)\n",
    "sns.distplot(x,bins=20,kde=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 数据分布情况  ###\n",
    "* 不仅可以画图直方图还可以查看和符合哪个指标的分布"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xcf934a8>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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JzJkzHwcHB7WjiUogBzHZIEVR2LjxW/R6PQMGPKh2HGHFrs8B36lTF/bt28P7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\n/wMoyi26U/qIjgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xceaa9b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.random.gamma(6, size=200)\n",
    "sns.distplot(x, kde=False, fit=stats.gamma)# fit代表符合哪个指标的图画"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 如果特征与特征之间关系，我们一边画散点图来描述其中关系"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "根据均值和协方差生成数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.629127</td>\n",
       "      <td>1.956267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.520731</td>\n",
       "      <td>0.704054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.276940</td>\n",
       "      <td>0.815955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-2.675727</td>\n",
       "      <td>-0.045766</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-0.635981</td>\n",
       "      <td>1.975694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1.008408</td>\n",
       "      <td>1.154783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.453382</td>\n",
       "      <td>2.185376</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-1.781441</td>\n",
       "      <td>0.112398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>-1.831903</td>\n",
       "      <td>0.109169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>-0.103047</td>\n",
       "      <td>0.523279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.893243</td>\n",
       "      <td>1.884921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>-0.946406</td>\n",
       "      <td>1.194132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>-1.413791</td>\n",
       "      <td>0.641670</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.479460</td>\n",
       "      <td>2.636222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0.881604</td>\n",
       "      <td>2.416017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>-1.923686</td>\n",
       "      <td>-0.826410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>-0.791387</td>\n",
       "      <td>-0.234940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>-0.590137</td>\n",
       "      <td>1.099764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0.292344</td>\n",
       "      <td>0.488378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>-0.061624</td>\n",
       "      <td>1.247576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>-1.060999</td>\n",
       "      <td>0.917960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>-1.236229</td>\n",
       "      <td>0.631441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>-0.326442</td>\n",
       "      <td>2.032594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>-0.523002</td>\n",
       "      <td>0.343494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>-1.136548</td>\n",
       "      <td>-0.169431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.195061</td>\n",
       "      <td>-0.411684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>-1.643032</td>\n",
       "      <td>0.361758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1.735771</td>\n",
       "      <td>1.225065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.414382</td>\n",
       "      <td>2.598798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>0.993610</td>\n",
       "      <td>2.486203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>0.414283</td>\n",
       "      <td>1.358721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>0.347131</td>\n",
       "      <td>-0.159550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>-0.933314</td>\n",
       "      <td>0.707068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>0.624291</td>\n",
       "      <td>1.497275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>-0.031651</td>\n",
       "      <td>1.179671</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>0.238412</td>\n",
       "      <td>0.933696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>-0.826733</td>\n",
       "      <td>0.173774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>-1.136526</td>\n",
       "      <td>0.156338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>0.612956</td>\n",
       "      <td>1.324509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>0.353492</td>\n",
       "      <td>-0.130311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>-0.223000</td>\n",
       "      <td>-1.333139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>0.089960</td>\n",
       "      <td>0.692018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>-1.756158</td>\n",
       "      <td>0.796810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>0.415400</td>\n",
       "      <td>0.656577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>-1.570656</td>\n",
       "      <td>-0.523224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>-1.898225</td>\n",
       "      <td>0.098263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>0.403863</td>\n",
       "      <td>1.763733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>-0.199489</td>\n",
       "      <td>1.224318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>-1.273689</td>\n",
       "      <td>0.317237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>0.204160</td>\n",
       "      <td>-0.253568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>0.101867</td>\n",
       "      <td>-0.184333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>-0.814207</td>\n",
       "      <td>1.170887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>0.297266</td>\n",
       "      <td>0.682267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>0.817683</td>\n",
       "      <td>0.610334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>-1.050210</td>\n",
       "      <td>-1.273169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>1.274726</td>\n",
       "      <td>0.708510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>0.060181</td>\n",
       "      <td>1.855048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>-0.234824</td>\n",
       "      <td>2.485190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>1.853514</td>\n",
       "      <td>2.186107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>0.558082</td>\n",
       "      <td>1.521305</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>200 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            x         y\n",
       "0    1.629127  1.956267\n",
       "1   -0.520731  0.704054\n",
       "2    0.276940  0.815955\n",
       "3   -2.675727 -0.045766\n",
       "4   -0.635981  1.975694\n",
       "5    1.008408  1.154783\n",
       "6    0.453382  2.185376\n",
       "7   -1.781441  0.112398\n",
       "8   -1.831903  0.109169\n",
       "9   -0.103047  0.523279\n",
       "10   0.893243  1.884921\n",
       "11  -0.946406  1.194132\n",
       "12  -1.413791  0.641670\n",
       "13   0.479460  2.636222\n",
       "14   0.881604  2.416017\n",
       "15  -1.923686 -0.826410\n",
       "16  -0.791387 -0.234940\n",
       "17  -0.590137  1.099764\n",
       "18   0.292344  0.488378\n",
       "19  -0.061624  1.247576\n",
       "20  -1.060999  0.917960\n",
       "21  -1.236229  0.631441\n",
       "22  -0.326442  2.032594\n",
       "23  -0.523002  0.343494\n",
       "24  -1.136548 -0.169431\n",
       "25   0.195061 -0.411684\n",
       "26  -1.643032  0.361758\n",
       "27   1.735771  1.225065\n",
       "28   0.414382  2.598798\n",
       "29   0.993610  2.486203\n",
       "..        ...       ...\n",
       "170  0.414283  1.358721\n",
       "171  0.347131 -0.159550\n",
       "172 -0.933314  0.707068\n",
       "173  0.624291  1.497275\n",
       "174 -0.031651  1.179671\n",
       "175  0.238412  0.933696\n",
       "176 -0.826733  0.173774\n",
       "177 -1.136526  0.156338\n",
       "178  0.612956  1.324509\n",
       "179  0.353492 -0.130311\n",
       "180 -0.223000 -1.333139\n",
       "181  0.089960  0.692018\n",
       "182 -1.756158  0.796810\n",
       "183  0.415400  0.656577\n",
       "184 -1.570656 -0.523224\n",
       "185 -1.898225  0.098263\n",
       "186  0.403863  1.763733\n",
       "187 -0.199489  1.224318\n",
       "188 -1.273689  0.317237\n",
       "189  0.204160 -0.253568\n",
       "190  0.101867 -0.184333\n",
       "191 -0.814207  1.170887\n",
       "192  0.297266  0.682267\n",
       "193  0.817683  0.610334\n",
       "194 -1.050210 -1.273169\n",
       "195  1.274726  0.708510\n",
       "196  0.060181  1.855048\n",
       "197 -0.234824  2.485190\n",
       "198  1.853514  2.186107\n",
       "199  0.558082  1.521305\n",
       "\n",
       "[200 rows x 2 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean, cov = [0, 1], [(1, .5), (.5, 1)]\n",
    "data = np.random.multivariate_normal(mean, cov, 200)\n",
    "df = pd.DataFrame(data, columns=[\"x\", \"y\"])\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###  观测两个变量之间的分布关系最好用散点图 ###"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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KgYiIiIRiICIiIqEYiIiISCgGIiIiEoqBiIgk+YMhnPF2wh8MiW5K3nmz7oToJhhK2Amt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\nQEREREIxEBERkVD/D1Fb78MlxVS1AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xcf2ec50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.jointplot(x=\"x\", y=\"y\", data=df);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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9euBTADKZDARBgNvtrnoeAbVNUSALUSEii4p3bHNzc/rIYWZmBvF43FCRMIqn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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xd0c8da0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x, y = np.random.multivariate_normal(mean, cov, 1000).T\n",
    "with sns.axes_style('white'):\n",
    "     sns.jointplot(x=x, y=y, kind=\"hex\", color=\"k\") #代表的图列颜色"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0xd217da0>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Jezuqw3djneG7sbfvqodJG3ZJkErFMBvU+PaXdqN70IZP7m+G9YoLE3YX9NoS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rYWQq9TY0+7M+IY3LmYrIKOmBIbdwzZptZDEERiKDH28ollo8PlwRftfYBKDa8vXEKg1qiwYkFl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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xff5c2b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#花蕊图，对角线上是单变量图，非对角线上是特征月特征之间关系\n",
    "iris = sns.load_dataset(\"iris\")\n",
    "sns.pairplot(iris)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
